Extract @Mentions
Find all @usernames in the text.
Use this free extract @mentions to handle your extraction tools needs efficiently. Part of our free online toolkit, offering secure, client-side performance.
How to use Extract @Mentions
- Input your data: Paste tweet text.
- Configure settings: Adjust the specific options to match your exact requirements if available.
- Process: Click the "Process / Generate" button to run the extract @mentions.
- Get Results: Review the output, then copy or download your processed text file.
Example Input
Thanks @user for the help.
Frequently Asked Questions
Why use the Extract @Mentions on ListLab?
Our Extract @Mentions offers a secure way to find all @usernames in the text.. For example, if you input "Thanks @user for the help.", you get instant results without server latency.
Is the Extract @Mentions compatible with Excel?
Yes, you can paste columns directly from Excel, Google Sheets, or CSV files into the Extract @Mentions to process them immediately.
Is there a usage limit?
The Extract @Mentions handles as much text as your browser allows. You can process thousands of lines instantly without lag.
Pro Tip
Find users.
About ListLab
ListLab is a professional suite of list processing utilities. We focus on:
- Privacy: 100% Client-side processing.
- Speed: Instant results in your browser.
- Simplicity: Clean, focused interface.
Use the Extract @Mentions for all your extraction tools needs.